package neural_nets_lib

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Module Row.Variants_of_bcastSource

Sourceval row_var : (v:row_var -> beg_dims:dim Base.list -> bcast) Variantslib.Variant.t
Sourceval fold : init:'acc__0 -> row_var: ('acc__0 -> (v:row_var -> beg_dims:dim Base.list -> bcast) Variantslib.Variant.t -> 'acc__1) -> broadcastable:('acc__1 -> bcast Variantslib.Variant.t -> 'acc__2) -> 'acc__2
Sourceval iter : row_var: ((v:row_var -> beg_dims:dim Base.list -> bcast) Variantslib.Variant.t -> Base.unit) -> broadcastable:(bcast Variantslib.Variant.t -> Base.unit) -> Base.unit
Sourceval map : bcast -> row_var: ((v:row_var -> beg_dims:dim Base.list -> bcast) Variantslib.Variant.t -> v:row_var -> beg_dims:dim Base.list -> 'result__) -> broadcastable:(bcast Variantslib.Variant.t -> 'result__) -> 'result__
Sourceval make_matcher : row_var: ((v:row_var -> beg_dims:dim Base.list -> bcast) Variantslib.Variant.t -> 'acc__0 -> (v:row_var -> beg_dims:dim Base.list -> 'result__) * 'acc__1) -> broadcastable: (bcast Variantslib.Variant.t -> 'acc__1 -> (Base.unit -> 'result__) * 'acc__2) -> 'acc__0 -> (bcast -> 'result__) * 'acc__2
Sourceval to_rank : bcast -> Base.int
Sourceval to_name : bcast -> Base.string
Sourceval descriptions : (Base.string * Base.int) Base.list